Parking navigation and finding system based on object networking wireless sensing and video perception

Abstract

The invention provides a parking navigation and finding system based on object networking wireless sensing and video perception, comprising a main control computer. The main control computer is connected with a plurality of park control systems with number plate automatic identification and a plurality of integrated LCD displays with players and wireless stall sensors through a network; the wireless stall sensor is installed at each stall; the park control system comprises a number plate identification system, an RFID (Radio Frequency Identification Device) reader-writer and a matched radio frequency identification electronic tag; and the LCD display comprises a navigation screen at the garage entrance and the LCD display arranged on a client forwarding path. The parking navigation and finding system has the advantages of actively informing a related internal part or a common platform of characteristic vehicle information and having a remote maintenance system transmitted through 3G and is a typical object networking perception system. The parking navigation is precise through an object networking wireless perception technique and a number plate identification technique, a vehicle owner finds a stall efficiently and the identity identification is in advance.

Description

technical field [0001] The invention relates to a vehicle perception, navigation and search system, in particular to a parking navigation and search system based on RFID radio frequency identification and wireless sensors and video perception of the Internet of Things. Background technique [0002] With the continuous emergence of the problem of parking difficulties, the scale of the parking lot invested by the government and enterprises is increasing day by day. This problem arises. When the car owner enters such a large parking lot and does not know where to park, there is a space, especially the floor parking lot. , It is even more blurred, so you have to search randomly by feeling, which often leads to congestion or even collisions, causing a lot of trouble to the management of the parking lot-parking is difficult, and you don’t know which floor or parking space your car is parked when you want to leave the field. It is difficult to find a car. Even if the property manag...

AI Technical Summary

Problems solved by technology

[0005] The traditional ultrasonic parking space monitoring uses sensors installed above the vehicle, so it cannot be used outdoors, and the sensors cannot be waterproof, and the wiring is more complicated; making outdoor parking space monitoring is currently a technical blank, and the electronic map displayed by the management computer is bmp format, for large car parks, once enlarged, the display accuracy will be greatly reduced, which cannot meet the needs of use

[0006] The traditional remaining space display uses ultrasonic parking space monitoring or ground sensing sensors to increase or decrease the number of vehicles entering and leaving, and performs digital detection of remaining spaces at the main entrance, floor intersections and various fork roads, and then displays the remaining spaces in each area through traditional LED displays. The number is only a regional parking space display, and it cannot achieve real vehicle guidance. Even the arrow guidance system of foreign technology cannot solve the problem of allowing the driver to correctly know the corresponding guidance direction when entering several vehicles at the same time.

[0007] The traditional car-finding system relies on installing many reading heads in each parking area, and positioning by swiping cards. The equipment and wiring are more complicated and the cost is also high.

[0008] Traditional parking lot license plate capture uses JPG image capture, which cannot be converted into text and digital information. Therefore, the vehicle feature information in the traditional system relies on the card number of the RFID electronic tag to identify the vehicle feature. However, for vehicles without fixed electronic tags, due to There is no corresponding vehicle information in the computer, which makes the traditional guidance system unable to navigate the vehicle, especially the state of multi-vehicle driving and the owner to find the vehicle, let alone exchange data with various public platforms

[0009] Traditional systems must go to the site for fault diagnosis and upgrades, high maintenance and labor costs, and cannot communicate with public platforms

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